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Deep Learning
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Graph Neural Networks
4495 directly classified papers
Papers per year
2006: 3
2009: 1
2010: 1
2011: 3
2012: 6
2013: 4
2014: 3
2015: 2
2016: 13
2017: 23
2018: 60
2019: 347
2020: 504
2021: 663
2022: 625
2023: 714
2024: 676
2025: 528
2026: 319
Papers
GraphMorph: Tubular Structure Extraction by Morphing Predicted Graphs
NIPS 2024
Knowledge-Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series
NIPS 2024
EGonc : Energy-based Open-Set Node Classification with substitute Unknowns
NIPS 2024
Semi-Open 3D Object Retrieval via Hierarchical Equilibrium on Hypergraph
NIPS 2024
EGODE: An Event-attended Graph ODE Framework for Modeling Rigid Dynamics
NIPS 2024
Learning on Large Graphs using Intersecting Communities
NIPS 2024
Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series
NIPS 2024
Gradient Rewiring for Editable Graph Neural Network Training
NIPS 2024
Discrete-state Continuous-time Diffusion for Graph Generation
NIPS 2024
DeepITE: Designing Variational Graph Autoencoders for Intervention Target Estimation
NIPS 2024
Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed
NIPS 2024
Differentiable Task Graph Learning: Procedural Activity Representation and Online Mistake Detection from Egocentric Videos
NIPS 2024
Unifying Generation and Prediction on Graphs with Latent Graph Diffusion
NIPS 2024
Sparse Graphical Linear Dynamical Systems
JMLR 2024
Topological Node2vec: Enhanced Graph Embedding via Persistent Homology
JMLR 2024
PhAST: Physics-Aware, Scalable, and Task-Specific GNNs for Accelerated Catalyst Design
JMLR 2024
A Hybrid Graph Network for Complex Activity Detection in Video
WACV 2024
Graph Machine Learning through the Lens of Bilevel Optimization
AISTATS 2024
Enhancing Graph Transformers with Hierarchical Distance Structural Encoding
NIPS 2024
Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism
NIPS 2024
GLBench: A Comprehensive Benchmark for Graph with Large Language Models
NIPS 2024
Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance
NIPS 2024
Deep Equilibrium Algorithmic Reasoning
NIPS 2024
Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning
NIPS 2024
Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning
NIPS 2024
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